Hazzan, Orit <br/><br/>
Guide to teaching data science  : an interdisciplinary approach 

 - Switzerland:  Springer Nature,  2023. 
 - xxvii, 321p. 
<br/><br/> Includes bibliographical references and index. 
<br/><br/> This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach). 
<br/><br/><label>ISBN: </label>9783031247576 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data Science Education<br/> Interdisciplinarity<br/> Computer Science Education
<br/><br/><label>Dewey Class. No.: </label>005.7 HAZ  / HAZ